Ethical considerations in the use of artificial intelligence in clinical neuropsychology

Objective: Major innovations are underway in the practice of clinical neuropsychology, as they are in the neurosciences and psychology more generally. Artificial intelligence (AI) is poised to offer numerous advantages over traditional neuropsychological practices, the most important of which is to improve clinical decision-making and thereby reduce diagnostic errors. However, the emergence, rapid availability, and adoption of AI, like other technological advances, has ethical implications. The purpose of this article is to present the ethical issues of primary importance in the adoption and application of AI in clinical neuropsychology and further advance the discussion of AI, ethics, and neuropsychology. Method: Benefits and risks of AI use in clinical neuropsychology are examined in the context of general bioethical principles. Results: Some of the primary anticipated risks that may lead to harmful outcomes for patients include: (1) threats to privacy and security, (2) bias in AI models, (3) lack of professional competence, (4) limitations to informed consent, (5) inequity in access to AI, (6) overreliance on AI, and (7) lack of accountability. Conclusions: Awareness and understanding of the ethical implications of technological advances, including AI, are essential for maintaining patient welfare at the center of clinical care and for preparing clinicians to anticipate ethical challenges and avoid dilemmas or address them effectively when they are encountered. Advanced preparation enables neuropsychologists to promote the ethical and responsible use of AI, for the benefit of both practitioners and patients.